Microeconomics, macroeconomics and statistics.

The objective of the course is to introduce students to the analysis of international
data, through the use of statistical and econometric techniques, and according to the
level of the class, to network analysis. The course starts with an overview of topics at
the forefront of the research and policy analysis in international context. Then it
moves toward applied topics. The material covered includes the estimation of gravity
models, the quantification of comparative advantage, the description of international
migration flows through network analysis.
Students of the course will be introduced to the empirical analysis methodology
generally used for the production of main reports of national and international
institutions.
The course reckon on the participation of researchers of the ICE (Promotion Agency
abroad and the internationalization of Italian companies) and Istat.

Part A

Globalization
Classical Trade Theory
Modern Trade Theory
Measuring comparative advantages
Migration
FDI
Trade and Growth

Part B

A review of the data types analyzed in international economics
Analysis and data transformations
Univariate analysis and description of the characteristics of the distribution
Bivariate analysis: Correlation
Multivariate analysis: conditional correlation
Multivariate multilevel analysis: dummy variables
Model of causal regression
Analysis with panel data

• 1.  (C) James Markusen, James Melvin, William Kaempfer, Keith Maskus International Trade. Theory and Evidence McGraw Hill, Boston, 1995
• 2.  (C) David Easley, Jon Kleiberg Networks, Crowds and Markets Cambridge University Press, Cambridge, 2010
• 3.  (C) John Fox Introduction to Applied Regression Analysi Cambridge University Press, Cambridge, 2011
• 4.  (A) Elhanan Helpman Understanding Global Trade MIT Press, New York, 2010

Programma da 3 CFU per frequentanti e non frequentanti

• Lectures and Lab exercises with R statistical language.

• Multiple-choice written exam

Inglese (una parte della bibliografia è in lingua)

inglese